Yao Da

517 citations
13 papers · 427 · h-index 6

Impact in

Papers in

Yao Da

11 papers receiving 421 citations

Peers

Yao Da
Comparison fields: 5 of 40
  • Control and Systems Engineering 276
  • Electronic, Optical and Magnetic Materials 142
  • Electrical and Electronic Engineering 288
  • Mechanical Engineering 128
  • Mechanics of Materials 31
Replace J. Arellano-Padilla with:
J. Arellano-Padilla United Kingdom
Timo Holopainen Finland
A. Tenhunen Finland
N. Arthur United Kingdom
Viswanathan Vaiyapuri Singapore
D. S. B. Fonseca Portugal
K. Yahia Algeria
Junqiang Zheng China
M.S. Arefeen United States
T. Marčič Slovenia
Yao Da relative to J. Arellano-Padilla United Kingdom J. Arellano-Padilla's profile →
Citations per field
00.5×3.8×
J. Arellano-Padilla · 1×
Citations per year

Countries citing papers authored by Yao Da

Since Specialization
Citations

This map shows the geographic impact of Yao Da's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yao Da with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Da more than expected).

Fields of papers citing papers by Yao Da

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yao Da. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yao Da. The network helps show where Yao Da may publish in the future.

Co-authors

The 10 scholars most cited alongside Yao Da, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yao Da Line = papers co-authored together Yao Da links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2012252
2 201167
3 201343
4 200725
5 200918
6 201010
7 20114
8
A QTL mapping analysis of main yield traits in soybean
20143
9
WIND-INDUCED DYNAMIC RESPONSE OF TRANSMISSION TOWER USING VECTOR-FORM INTRINSIC FINITE ELEMENT METHOD
20152
10
Synonymous Codon Usage in Methanosarcina mazei str. Goe1 and Other Euryarchaeota Microorganisms
20071
11 20211
12
Automatic Test System of IGBT Electrical Parameters Based on Virtual Instrument
20141
13 20220

About Yao Da

Yao Da is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Molecular Biology, Mechanical Engineering and Civil and Structural Engineering, having authored 13 papers that have together received 427 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (6 papers), Machine Fault Diagnosis Techniques (3 papers), Multilevel Inverters and Converters (2 papers), Non-Destructive Testing Techniques (2 papers), Sensorless Control of Electric Motors (2 papers), Electromagnetic Compatibility and Noise Suppression (2 papers), Silicon Carbide Semiconductor Technologies (2 papers) and Soybean genetics and cultivation (1 paper). The work is most often cited by research in Control and Systems Engineering (276 citations), Electronic, Optical and Magnetic Materials (142 citations), Electrical and Electronic Engineering (288 citations), Mechanical Engineering (128 citations) and Mechanics of Materials (31 citations). Yao Da has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Mahesh Krishnamurthy, Xiaodong Shi, Alireza Khaligh, Peng Jiang, Fei Sang, Jiawei Wei, Xiao Sun, Zuhong Lu, Gennadi Y. Sizov and G.L. Skibinski. Their work appears in journals such as IEEE Transactions on Power Electronics, Computer Methods and Programs in Biomedicine, Engineering Mechanics, 2022 IEEE Energy Conversion Congress and Exposition (ECCE) and Journal of the South China Agricultural University.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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